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Full visibility into your serverless applications with AI-powered Azure Functions monitoring (GA)

Dynatrace

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. x runtime versions of Azure Functions running in an Azure App Service plan. Azure Functions in a nutshell. Azure Functions is the serverless computing offering from Microsoft Azure.

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Full visibility into your serverless applications with AI-powered Azure Functions monitoring (GA)

Dynatrace

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. x runtime versions of Azure Functions running in an Azure App Service plan. Azure Functions in a nutshell. Azure Functions is the serverless computing offering from Microsoft Azure.

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Data privacy by design: How an observability platform protects data security

Dynatrace

Owning data and creating data privacy by design Ferguson and Plank focused on two key messages as they discussed data security: Organizations always choose and control the data they process with Dynatrace. The underlying software architecture that supports all this data must be secure, as well.

Design 191
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O’Reilly serverless survey 2019: Concerns, what works, and what to expect

O'Reilly

customers who already like and use Azure or Google Cloud Platform are likely to find the same advantages hold with Azure Functions and Google Cloud Functions. Custom tooling could simply be a shell script or cron job that is unique to a build process, but starts a chain of existing tools provided by various vendors.

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Design Patterns: Queue-Based Load Leveling Pattern

cdemi

The service retrieves the messages from the queue and processes them. Requests from a number of different tasks, which can be generated at a highly variable rate , can be passed to the service through the same message queue and will be processed at a constant rate that the service can work at.

Design 47
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5 key areas for tech leaders to watch in 2020

O'Reilly

Software architecture, infrastructure, and operations are each changing rapidly. The shift to cloud native design is transforming both software architecture and infrastructure and operations. Trends in software architecture, infrastructure, and operations.

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MLOps and DevOps: Why Data Makes It Different

O'Reilly

While there isn’t an authoritative definition for the term, it shares its ethos with its predecessor, the DevOps movement in software engineering: by adopting well-defined processes, modern tooling, and automated workflows, we can streamline the process of moving from development to robust production deployments.

DevOps 138